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组合方法在系统发育网络中的应用研究综述。

A survey of combinatorial methods for phylogenetic networks.

机构信息

Department of Computer Science, Center for Bioinformatics, Tübingen University, Tübingen, Germany.

出版信息

Genome Biol Evol. 2011;3:23-35. doi: 10.1093/gbe/evq077. Epub 2010 Nov 15.

Abstract

The evolutionary history of a set of species is usually described by a rooted phylogenetic tree. Although it is generally undisputed that bifurcating speciation events and descent with modifications are major forces of evolution, there is a growing belief that reticulate events also have a role to play. Phylogenetic networks provide an alternative to phylogenetic trees and may be more suitable for data sets where evolution involves significant amounts of reticulate events, such as hybridization, horizontal gene transfer, or recombination. In this article, we give an introduction to the topic of phylogenetic networks, very briefly describing the fundamental concepts and summarizing some of the most important combinatorial methods that are available for their computation.

摘要

一组物种的进化历史通常通过有根的系统发育树来描述。尽管分支的物种形成事件和带有修饰的遗传是进化的主要力量这一点通常没有争议,但越来越多的人相信,网状事件也发挥了作用。系统发育网络提供了一种替代系统发育树的方法,对于涉及大量网状事件的数据集(例如杂交、水平基因转移或重组)可能更合适。在本文中,我们将介绍系统发育网络的主题,简要描述基本概念,并总结一些用于计算的最重要的组合方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/accc/3017387/767db547b163/gbeevq077f01_3c.jpg

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